Tirez Filet de calibre 90 loin de l'adversaire pour combler l'écart ou passer par-dessus des murs.
Évitez d'utiliser Tir chirurgical dans les grandes mêlées en équipe car il risque d'être bloqué par la mauvaise cible.
Utilisez les Piège-yordle en les déployant préventivement et en vous assurant d'en avoir un disponible pendant les combats.
The stat comparisons shown on this page highlight some significant Caitlyn vs. Nilah counter statistics that may help us appreciate the differences and similarities between the pair. For instance, Caitlyn’s KDA ratio ([kills + assists] / deaths) of NaN is greater than Nilah’s ratio of NaN, showing that Caitlyn may be more central to her team's team fighting capacity than Nilah..
Caitlyn typically has a similar longest killing spree as her counter does. Commonly, she takes less damage than Nilah. This is usually reflective of differing health capacities, yet it can also illustrate that the one champion has less mobility and thus is unable to kite away from further damage when engaged or poked.
Both League of Legends champions are great champions. Both have their strengths, weaknesses, and counters. In League's current meta, Caitlyn usually loses when trying to fight Nilah, with a 48.7% win rate. As a result, Caitlyn makes a poor counter to Nilah.
While Caitlyn does have a lower winrate than Nilah, when facing one another, Caitlyn also has a much lower level of difficulty that makes her a less time consuming character to learn and master. You still need to be cautious when picking Caitlyn into Nilah.
Additionally, Caitlyn has almost no amount of CC and other utility, a similar amount to Nilah. This often makes her just as valuable during team fights, especially when trying to counter champions with a lot of burst damage.
While there isn't a single best champion in League of Legends, in Caitlyn vs Nilah matchups, Nilah is the better champ with a lower win rate, less champion complexity, and a similar amount of utility to help out your allies during late stage team fights.
Caitlyn is a somewhat poor counter for Nilah. You will do well by focussing your tactics on maximizing your gold income and clearing objectives. If you can do that, you should do very well as Caitlyn against Nilah.
To truly master Caitlyn to counter Nilah during both the laning and mid / late game phases of League of Legends, you should continue reading to pick up a few extra lessons on this matchup. If you pay attention to the build and tips displayed above, you will increase your win rate significantly and be that much closer to League of Legends pro players.
Caitlyn typically accumulates a similar amount of CS compared to Nilah. Champions who on average don't get many minion kills typically don't have to have much CS to be effective, such as support champions. These kinds of champions are capable of scaling properly off of their abilities and first items alone. Yet, champions with large amounts of CS, such as hyper-carries, often require a lot of items to be effective. In either case, try to surpass the values shown on this page to do well.
The top items to have in your Caitlyn versus Nilah build consist of Lame d'infini, Canon ultrarapide, and Tueur de krakens. When Caitlyn bought at least these three items in her build, she performed a lot better versus Nilah than with most other typical item sets. In fact, Caitlyn had an average winrate of 48.7% battling Nilah with these items in her kit.
To have the best probability of beating Nilah as Caitlyn, Caitlyn players should use the Jeu de jambes, Présence d'esprit, Légende : sangsue, Coup de grâce, Concentration absolue, and Tempête menaçante runes from the Précision and Sorcellerie rune sets. Out of all the rune combinations players chose for Caitlyn vs Nilah counterpicks, this composite of runes yielded the greatest win rate. Moreover, these runes provided a 48.7% winrate overall.
If you need to get Caitlyn versus Nilah tips and builds for a an individual division, feel free to choose one from the selection menu provided above. At first, the statistics and guides displayed are computed using every game with data with these champions.